Python AI Engineer

Czym będziesz się zajmować?

Role summary: Own quality on the two hardest surfaces of a production AI coaching platform:

the LLM agents that answer differently every run, and the API layer everything else depends on.

As AI & Backend QA Engineer you own the quality of what the model says and what the APIs return. On the AI side that means building the evaluation practice: golden sets, quality metrics, and regression detection that catch a degraded answer before a user does. On the backend side it means API test suites and consumer-driven contract testing with Pact — agreed with the client's US engineering team as a standing requirement for this role, not an optional technique.

The defining skill is localization: when an answer is wrong, you can tell whether the problem sits in the model, in the service code, or in the input data — and you bring the evidence, not a guess.

What you'll be testing:
AI core — a Python service with LangGraph agents producing streaming, non-deterministic coaching responses; this
role's primary surface
Backend APIs — a NestJS REST gateway behind Auth0, plus the services behind it
Mobile app — React Native, shipping to iOS and Android app stores; AI features surface directly in the app that
members use

Kogo poszukujemy?

Must-have skills:
3+ years in technical QA/test automation, incl. API testing on production
Python — writing/maintaining tests, pytest, fixtures
HTTP/API fundamentals — REST, JSON, status codes, headers, auth tokens
Contract testing with Pact — consumer-driven contracts (hard requirement)
Security-aware API testing — auth boundaries, token handling, malformed/hostile input
Comfort with non-determinism — assert on properties/contracts, not exact output
LLM evaluation — datasets/golden sets, response metrics, detect regressions across prompts/models
Prompt engineering — modify prompts and measure effects; aware of hallucinations and prompt injection
Backend savvy — HTTP/REST, JSON, tokens, logs, DB queries; isolate model v…

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase.

As a Senior Machine Learning Engineer on the CX Intelligence Engineering team within Coinbase's Customer Engagement and Experience org, you'll design and build the AI-powered systems that connect our Help Center, chatbots, and agent workflows. This team owns the multi-agent platform powering Coinbase chat, Help Center, and agent tooling surfaces, partnering with Conversation Design, CX, and Engineering teams to deliver secure, compliant, and scalable AI support. You'll drive key CX automation initiatives, including multi-agent framework development, agent assist capabilities, and LLM-powered secure actions that help customers get answers faster while enabling human agents to resolve cases more effectively.

What you'll do:

Architect and deploy the multi-agent framework for agent assist, internal SOP execution, and secure LLM-powered actions, building scalable systems that handle millions of customer interactions.

Own end-to-end project execution for complex ML initiatives, managing priorities, technical trade-offs, and cross-functional dependencies from design through production delivery.

Build and optimize AI-driven concierge chat and agent copilot experiences that improve automated resolution rates and reduce case handling time.

Develop systems to detect and manage bad actors and adversarial inputs, ensuring the multi-agent platform maintains high confidence and safety at s…

Who we are

About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team
The AI Build team is a new, industry-focused team dedicated to building with the world’s leading and fastest-scaling AI companies. We work alongside Stripe’s AI Solutions Architecture and GTM teams, and across Stripe’s product suite to help customers adopt emerging products, close interoperability and 0→1 solution gaps, and bring field learning directly into Stripe’s product roadmap. The team owns strategic proof-of-concept engagements across the pre- and post-sales lifecycle, complementing Stripe’s AI account teams and the product depth of Stripe’s specialist teams.

What you'll do
As a Solutions Engineer on the AI Build team, you’ll work directly with frontier AI companies on the payments, billing, and monetization infrastructure underlying their core businesses. You’ll own complex proof-of-concept engagements on Stripe’s frontier products, from initial scoping through activation and handoff, combining customer discovery, solution design, rapid prototyping, and cross-functional leadership. You won’t simply implement a finished product: you’ll build with customers, identify where Stripe’s products or integrations need to evolve, and help customers feel as though they are inside our product roadmap.

Responsibilities

Own strategic POCs end to end: Sell, scope, and lead proof-of-concept engagements from initial customer commitment through activation.

Build with customers: Work deeply with users’ engineers and technical leaders to u…

Role Description
As a Senior Client Platform Engineer on CorpFleet Engineering, you will own and improve Dropbox’s Windows endpoint platform. You will bring deep Windows and Intune expertise, make patching and application delivery more reliable, and build automation that reduces recurring work for the team.

This is a hands-on role combining Windows technical ownership with the development of a more code-managed endpoint platform. You will help evaluate and adopt FleetDM, osquery, infrastructure-as-code, and GitOps practices where they improve reliability, visibility, and maintainability. You will strengthen the current environment while building and validating the path forward—not assume that replacing a tool is the answer.

You will work with CorpInfra, IAM, Security, and support teams to make practical technical decisions, lead multi-phase improvements, and clarify ownership. You will also mentor teammates through pairing, code review, and shared operational practices. This is an individual-contributor role, not a people-management position.

Responsibilities

Own endpoint reliability and lifecycle management. Improve provisioning, application delivery, updates, security configuration, and troubleshooting across the endpoint environment.

Make patching predictable and safe. Strengthen update workflows through testing, controlled rollouts, and remediation.

Make fleet health trustworthy and actionable. Improve reporting on device health, patching, and configuration, with clear ownership for resolving issues.

Build maintainable automation. Turn recurring work into reliable, tested workflows that other engineers can operate.

Advance code-managed endpoint operations. Adopt tools and practices that improve configuration management, validation, and deployment.

Lead cross-functional platform improvements. Define practical roadmaps, resolve dependencies, and balance security, reliability, employee experience, and team capacity.

Strengthen the team’s capability. Mento…

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase.

As a Staff Software Engineer on the FinHub - Transfers team within the Platform group, you'll own the architectural direction of the systems that power crypto and fiat fund movements across Coinbase. The Transfers team builds one of the most critical and high-scale distributed financial platforms in the industry, enabling fund movement for Retail, Prime, Exchange, International, and Payments products. You'll make key technical decisions, drive platform reliability and scalability improvements, and lead cross-functional initiatives that directly impact how millions of customers move money on Coinbase.

What You'll Do:

Own the technical architecture of Transfers' fund movement systems, driving design decisions on distributed system structure, correctness guarantees, and scalability across crypto and fiat rails

Lead complex, cross-team engineering initiatives end-to-end, partnering with Payments, Trading, and product engineering teams to deliver new fund movement capabilities and platform improvements

Drive the evolution of Transfers' backend infrastructure using modern cloud-native patterns, proactively identifying scaling bottlenecks and architecting solutions before they impact customers

Establish engineering standards, code review practices, and architectural patterns that raise the quality bar across the team and reduce operational risk in high-correctness financial systems…

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase.

Data Science is an integral component of Coinbase’s product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company’s bottom line.

As a Data Scientist in the consumer org, you'll apply these skills to improve the customer experience across Coinbase's consumer products—spot and advanced trading, yield, Coinbase One (CB1), international expansion, and new launches (including prediction markets and equities trading). You'll define and instrument key metrics, build measurement and causal frameworks, and translate insights into product strategy and shipped improvements.

What you'll be doing:

Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team’s decision making.

Act as owner for a broad scope of data and metrics, from core logging to presentation of data visualizations.

Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs.

Maintain a high bar for statistical rigor on your team. Ensure that we’re conducting experimentation and causal analyses that build confidence with your stakeholders.

What we look for in you:

A BA/BS in a quantitat…